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Remote Python Machine Learning Jobs in Huntingdon Valley, PA

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code * Solid ...

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109K - $157K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Python, R, SQL, GitHub, and IDEs such as PyCharm or VS CodeSolid understanding of statistical ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

... modeling, machine learning and visualization purposes, and Java, Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau.

Remitly

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

... modeling, machine learning and visualization purposes, and Java, Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau.

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How much do remote python machine learning jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote python machine learning in Huntingdon Valley, PA is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.34 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the most commonly searched types of Python Machine Learning jobs in Huntingdon Valley, PA? The most popular types of Python Machine Learning jobs in Huntingdon Valley, PA are:
What job categories do people searching Remote Python Machine Learning jobs in Huntingdon Valley, PA look for? The top searched job categories for Remote Python Machine Learning jobs in Huntingdon Valley, PA are:
Remote Python Machine Learning jobs near you
Data Scientist

Data Scientist

Campbell's

Camden, NJ • On-site, Remote

$109K - $150K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell's...

  • Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
  • Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
  • Campbell's offers unlimited sick time along with paid time off and holiday pay.
  • If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
  • Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually.
  • Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.

HOW YOU WILL MAKE HISTORY HERE...

The Data Science Analyst plays a critical role in supporting the Demand Planning function by developing and enhancing advanced forecasting models. In this role, you will select optimal modeling approaches for different scenarios, tune parameters to improve performance, and supplement models with custom algorithm development when necessary. You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize financial and supply chain performance, and deliver measurable business impact.

WHAT YOU WILL DO...

Model Development

  • Develop and refine AI and machine learning models for demand forecasting using techniques such as time series analysis, regression, and ensemble learning

Data Analysis

  • Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers

Insight Generation

  • Translate data into actionable insights to understand the impact of promotions, pricing, and external factors on demand

Platform Utilization

  • Use the o9 platform and open-source IDEs for model development, deployment, data management, and visualization

Continuous Improvement

  • Monitor and improve forecasting model accuracy, adapting to changing market conditions

Collaboration

  • Partner with demand planners, analysts, and business stakeholders to ensure models and insights are practical and impactful

WHO YOU WILL WORK WITH...

  • Demand Planning teams

  • Business analysts and data analysts

  • Cross-functional business stakeholders

  • Supply chain and commercial teams

WHAT YOU BRING TO THE TABLE... (MUST HAVE)

  • 4+ years of experience in data science, forecasting, or advanced analytics (supply chain experience strongly preferred)

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field

  • Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code

  • Solid understanding of statistical modeling and machine learning techniques (e.g., time series, regression, ensemble learning)

  • Expertise in exploratory data analysis (EDA), data cleaning, and feature engineering

  • Strong analytical and problem-solving skills

  • Ability to translate complex analyses into clear business insights

  • Experience identifying and prioritizing risks

  • Continuous improvement mindset

IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE)

  • Master's degree in a related field

  • Forecasting experience

  • Experience working with supply chain or demand planning datasets

  • Experience with the o9 platform

Working Conditions

  • Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office)

  • 10-15% travel for company and customer meetings

Compensation and Benefits:

The target base salary range for this full-time, salaried position is between

$109,400-$150,400

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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